anti-money-laundering
anti-money-laundering is a Privacy & regulatory compliance skill for AI agents, published by JoelLewis in the finance_skills repository on GitHub. Skillspace rates anti-money-laundering D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Guide BSA/AML compliance program design, ongoing transaction monitoring, and FinCEN reporting for broker-dealers, banks, and investment advisers. Use when the user asks about suspicious activity reports, currency transaction reports, OFAC screening, structuring detection, ongoing risk-rating reviews and escalation, or FinCEN requirements. Also trigger when users mention 'large cash deposit', 'sanctions check', 'money laundering red flags', 'unusual transaction patterns', 'wire to a foreign country', 'SDN list', 'tipping off a client about a SAR', 'AML audit', 'correspondent account due diligence', or ask whether a transaction needs to be reported. (For onboarding identity verification, CIP/CDD, beneficial ownership, and initial customer risk rating, use know-your-customer.)
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 151
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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